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Deep meta-learning for the selection of accurate ultrasound based breast mass classifier
Standard classification methods based on handcrafted morphological and texture features have achieved good performance in breast mass differentiation in ultrasound (US).
Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net
In comparison to commonly applied segmentation methods, which use US images, our approach is based on quantitative entropy parametric maps.
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